local AI

Illustration of a laptop running a locally powered AI coding model

Recursive Launches Flint, a Laptop Coding Model It Says Was Largely Built by AI

Recursive Flint is a coding-focused language model built to support AI agents working on software projects. Rather than simply completing a line of code, it is intended to handle more involved programming activities, including investigating existing codebases, identifying bugs, implementing features and writing tests. The model uses a mixture-of-experts (MoE) architecture. It contains approximately 40 […]

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Perplexity Computer running AI workflows locally on an Apple Silicon Mac

Perplexity Makes It Easier to Run AI Workflows Entirely on Your Own Mac

Artificial intelligence is becoming increasingly capable of completing entire workflows rather than simply answering questions. However, many AI assistants still rely on cloud infrastructure to process information, raising questions about privacy, recurring costs and how much control users have over their own data. Perplexity is addressing these concerns with a new fully local mode for […]

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Microsoft Brings More AI to PCs as It Challenges Apple

Microsoft used its 7 October Windows and Surface event to bring more AI to PCs and take aim at Apple. The Surface Laptop Ultra on Nvidia’s RTX Spark starts at $2,599, Windows now runs coding and open models locally, and Microsoft Execution Containers sandbox AI agents. Here is what was announced, how the prices and benchmark claims compare with the Mac, and what UK businesses should do next.

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What to Expect at Microsoft’s Windows, Surface and AI Event on October 7

Microsoft’s Windows and Surface event in San Francisco on 7 October brings Satya Nadella, Pavan Davuluri and Jensen Huang on stage. Here is what is confirmed, what is likely and what is rumour: Surface Laptop Ultra pricing, the RTX Spark chip, local AI agents and execution containers, the Dev Box and Project Zenith, Windows 11 K2 work, the fading Copilot+ brand, and what UK businesses should do now.

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Acer Shows Off Its AI Desktop Future With the RTX Spark Design

Acer used IFA 2026 to show off the SFF RTX Spark, a small-form-factor desktop concept built on NVIDIA’s RTX Spark superchip: up to a 20-core Grace CPU, a 6,144-core Blackwell GPU, 128 GB of unified memory and one petaflop of AI compute in a vertical shell with a fold-out stand. Alongside it, the palm-sized Veriton RI110 mini workstation ships first, from Q4 2026. This article breaks down the specs, the local agentic AI pitch, the vendor ecosystem shipping from fall 2026, and what a petaflop on the desk means for creators, developers, gamers and business buyers.

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Perplexity to Launch Hybrid Mode on Mac Using Local Models for Subtasks

TestingCatalog has surfaced Hybrid mode, an unreleased setting in Perplexity Computer’s Mac app that keeps orchestration in the cloud while delegating suitable subtasks to a model running locally, plus a Privacy Gate model that checks outbound data for personal information and asks the user before it is sent. This article covers the three downloadable local models (a 19GB Perplexity model, Qwen 32B at 17.4GB, and a 5.6GB Gemma-based model for 16GB Macs), which Mac mini configurations qualify, how Privacy Gate differs from June’s hybrid agentic inference design, the credit arithmetic the feature targets, how it compares with the Nvidia-only Portable Computer, and what a UK business should do about a feature that is still hidden and undated.

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Perplexity Partners With Nvidia to Launch Portable Computer, a Fully Local AI Agent With Zero Token Costs

Perplexity announced Portable Computer on 25 August 2026, built in close partnership with Nvidia: the full agentic Computer stack — model, inference engine, agent harness, tools, connectors and sandbox — running on your own hardware, where local work consumes no billing credits. It needs an Nvidia RTX GPU with at least 24GB of VRAM or a DGX Spark, runs on DGX OS or Ubuntu with Windows due in September 2026, and offers Qwen 3.8 27B, Perplexity’s post-trained PPLX 27B and, soon, Nvidia’s Nemotron 3.5 Lightning. This breakdown covers the hardware floor, the per-step cloud escalation flow, Perplexity’s own benchmark numbers, what zero token costs actually excludes, and who should pilot it now.

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Qwen3.8 27B - qwen3 8 27b open weight model a three ascending rounded pillars

Qwen3.8 27B: Complete Guide to the Best Open-Weight Release

Qwen3.8 27B goes open-weight at 00:00 JST on 15 August 2026. This launch-day guide separates what Alibaba has confirmed from what is still unpublished — above all the licence, after the sibling Max shipped under bespoke terms. It maps VRAM and quantisation tiers from a 24GB card to an H100, and sets the Qwen3.6-27B baseline of 77.2 SWE-bench Verified as the bar the new weights must clear.

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